Multiprocessor Architecture for Big Data Computing

Autor:	Vladimir Hahanov, Alexander Adamov, Wajeb Gharibi, Eugenia Litvinova
Rok vydání:	2018
Předmět:	Digital electronics Theoretical computer science business.industry Computer science media_common.quotation_subject Big data Multiprocessing Metric (mathematics) Pattern recognition (psychology) Quality (business) Architecture business Cyberspace media_common
Zdroj:	Cyber Physical Computing for IoT-driven Services ISBN: 9783319548241
DOI:	10.1007/978-3-319-54825-8_2
Popis:	The architecture of a vector logical multiprocessor for parallel analysis of big data in cyberspace aimed at searching, pattern recognition, and decision making is proposed. Vector logical architectures for solving market-focused problems are investigated, including embedded diagnosis and repair of digital system-on-a-chip components. The quality of the problem solution is estimated by an innovative nonarithmetic metric of Boolean vector comparison.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bb2ea0a6edd246fc72aa6b1108a5e2b6 https://doi.org/10.1007/978-3-319-54825-8_2 Zobrazit plný text záznamu